Andy Chu
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
- Internet Traffic Analysis and Secure E-voting
Papers in
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- RNA modifications and cancer 2
-
- Cancer-related molecular mechanisms research 3
- MicroRNA in disease regulation 2
- Co-authors
- Martı́n Abadi (1 shared paper)Ilya Mironov (1 shared paper)Kunal Talwar (1 shared paper)Ian Goodfellow (1 shared paper)Li Zhang (1 shared paper)H. Brendan McMahan (1 shared paper)Andrew J. Mungall (5 shared papers)Marco A. Marra (4 shared papers)
- Journals
- Journal of Applied Mechanics (1 paper)The FASEB Journal (1 paper)Gastric Cancer (1 paper)EMBO Reports (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Andy Chu
12 papers receiving 3.6k citations
Andy Chu's Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 159
- Artificial Intelligence 3.1k
- Computer Science Applications 370
- Computer Vision and Pattern Recognition 364
- Safety Research 124
Countries citing papers authored by Andy Chu
This map shows the geographic impact of Andy Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andy Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andy Chu more than expected).
Fields of papers citing papers by Andy Chu
This network shows the impact of papers produced by Andy Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andy Chu. The network helps show where Andy Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Andy Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning with Differential Privacy Hit paper breakdown → | 2016 | 3436 |
| 2 | 2015 | 105 | |
| 3 | 2015 | 84 | |
| 4 | 2015 | 17 | |
| 5 | 2013 | 15 | |
| 6 | 2014 | 12 | |
| 7 | 2020 | 11 | |
| 8 | Structural basis for regulation in gram-negative bacterial citrate synthases. | 1987 | 8 |
| 9 | 2005 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2006 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 0 |
About Andy Chu
Andy Chu is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Civil and Structural Engineering, having authored 14 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Viral-associated cancers and disorders (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers), Structural Response to Dynamic Loads (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Health Informatics (159 citations), Artificial Intelligence (3.1k citations), Computer Science Applications (370 citations), Computer Vision and Pattern Recognition (364 citations) and Safety Research (124 citations). Andy Chu has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Martı́n Abadi, Ilya Mironov, Kunal Talwar, Ian Goodfellow, Li Zhang, H. Brendan McMahan, Andrew J. Mungall, Marco A. Marra, Steven J.M. Jones and Gordon Robertson. Their work appears in journals such as Journal of Applied Mechanics, The FASEB Journal, Gastric Cancer, EMBO Reports and Hepatology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.